Load Data from Google Drive to PostgreSQL in Minutes

Bring data from Google Drive to PostgreSQL with just a few clicks without writing code. Get analysis-ready data in your warehouse in real-time.

Data Driven Companies Trust Hevo

NO SET-UP, NO-CODE. INSTANT DATA LOAD

With just a few clicks, connect your Google Drive to MySQL and watch your data load in real-time. Experience a hassle-free, zero-maintenance data load.

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COMBINE AND ANALYZE DATA FROM Google Drive AND MANY OTHER SOURCES

Optimize your marketing efforts by combining and analyzing marketing data from all your applications in real-time. With over 100+ ready-to-use integrations, Hevo can easily bring data from your Sales and Marketing Apps, Analytics Tools, Databases, and more.

Amazon S3
Oracle
Salesforce
Zendesk
Freshdesk
Intercom
Shopify
Mixpanel
Google Analytics
Segment
Clevertap
Marketo
HubSpot
Google Ads
Facebook Ads
Mailchimp

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TRANSFORM AND MODEL DATA IN YOUR WAREHOUSE

Enrich, filter, aggregate and segment raw Google Drive data to make it analysis-friendly. Whether you want to standardize timezones, convert currencies, or simply aggregate campaign data for faster analysis, automate tedious data preparation tasks with Hevo.

WHY MODERN DATA TEAMS LOVE HEVO

Easy to Set-up

Get all your Google Drive data in your PostgreSQL data warehouse in just a few clicks without much developer assistance.

Zero Maintenance

Leave behind data replication code and script maintenance. Setup once and let Hevo manage all your future changes automatically.

Completely Automated

Automate your Google Drive data flow without writing any custom configurations. Further, Hevo flags and resolves any errors detected.

DERIVE MEANINGFUL INSIGHTS FROM YOUR Google Drivedata

Google Drive

About Google Drive

Google drive is a cloud file storage system offered by Google. Companies can use to easily store, share, collaborate and sync all your business files anywhere.

PostgreSQL

About PostgreSQL

PostgreSQL is an open-source object-relational database system. Its scalability, reliability, and extensive querying layer have made it a popular choice for use cases ranging from OLTP workloads to data analytics setups.

Understand your customers

Unify all data across channels to understand your customer journey and generate actionable insights that affect different stages of your sales funnel.

Increase online conversions

Analyze site traffic from different traffic sources. Understand which content is performing based on the clickstream metrics to increase conversions.

Improve Marketing ROI

Collect detailed marketing reports from Google Ads and other different channels to understand which channels are converting and which are not.

Free Ebook

Cheatsheet for a Hassle-free Amazon Redshift ETL